Current methods and advances in forecasting

所属分类matlab例程
开发工具:WINDOWS
文件大小:274KB
下载次数:7
上传日期:2017-12-13 14:57:32
上 传 者therealneel7
说明:  Comparisons between stochastic and deterministic Unit Commitment solutions are provided. The generation of Unit Commitment solution is guaranteed by DEEPSO, which is a hybrid DE-EA-PSO algorithm, where DE stands for Differential Evolution, EA for Evolutionary Algorithms and PSO for Particle Swarm Optimization. For the calculation of the optimal economic dispatch an algorithm based on the Benders Decomposition, combining the Dual Dynamic Programming, was developed. Results show that the stochastic approach leads to more ro

文件列表:[举报垃圾]
Current methods and advances in forecasting.pdf, 347359, 2017-11-29

近期下载者

相关文件

评论我要评论

收藏者